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Cloud analytics migration: how to exceed expectations

CIO Business Intelligence

A cloud analytics migration project is a heavy lift for enterprises that dive in without adequate preparation. If expectations around the cost and speed of deployment are unrealistically high, milestones are missed, and doubt over potential benefits soon takes root. But this scenario is avoidable.

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Pitching a DataOps Project That Matters

DataKitchen

DataOps addresses a broad set of use cases because it applies workflow process automation to the end-to-end data-analytics lifecycle. These benefits are hugely important for data professionals, but if you made a pitch like this to a typical executive, you probably wouldn’t generate much enthusiasm.

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Transforming Task Automation: The Future of Intelligent Orchestration

David Menninger's Analyst Perspectives

Robotic process automation (RPA) has been a cornerstone of task automation, allowing businesses to execute high-volume, transactional procedures with minimal human intervention. Enterprises that adopt RPA report reductions in process cycle times and operational costs.

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The 10 Essential SaaS Trends You Should Watch Out For In 2020

datapine

SaaS is a software distribution model that offers a lot of agility and cost-effectiveness for companies, which is why it’s such a reliable option for numerous business models and industries. Some examples are healthcare analytics software, retail analytics , or modern logistics analytics. Hence, micro-SaaS.”.

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Your Effective Roadmap To Implement A Successful Business Intelligence Strategy

datapine

1) What Is A Business Intelligence Strategy? 2) BI Strategy Benefits. 4) How To Create A Business Intelligence Strategy. Odds are you know your business needs business intelligence (BI). Over the past 5 years, big data and BI became more than just data science buzzwords. Table of Contents.

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IT Budgeting Practices for Data-Driven Companies

Smart Data Collective

Last year, global businesses spent over $271 billion on big data. While there are many benefits of big data technology, the steep price tag can’t be ignored. Companies need to appreciate the reality that they can drain their bank accounts on data analytics and data mining tools if they don’t budget properly.

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NaaS and the “Experience Economy”

CIO Business Intelligence

To address this requirement and ensure seamless connectivity, organizations are rapidly adopting consumption-driven NaaS models to balance the cost of their network growth with the digital experience of their stakeholders. Obtaining more insight into hidden costs (e.g., Obtaining more insight into hidden costs (e.g.,